Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics
Recent advances in Large Language Models (LLMs) have motivated their adoption across a wide range of domains, including Artificial Intelligence (AI) for mental health. Given the growing prevalence of mental health disorders worldwide and the limited accessibility of professional care, there is an increasing demand for scalable computational approaches that can assist in early detection and continuous monitoring of psychological well-being. In this area, ongoing efforts have focused on curating domain-specific datasets and leveraging them to develop LLMs capable of supporting holistic mental he
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via unknownTowards AI-augmented decision making in psychiatry →
- LinkedLinked via unknownNew research shows how AMIE, our medical AI, could help manage health conditions. →
- LinkedLinked via unknownFabiojvv/ai-cortex-hub →
- LinkedLinked via unknownTransformer →
- LinkedLinked via unknownIEEE Rolls Out Large Language Models Virtual Training Course →
- PossiblePossibly related (embedding) · 49%JohnSnowLabs/spark-nlp →
- PossiblePossibly related (embedding) · 64%Emo-gml/Awesome-Mental-Health-LLMs →
- PossiblePossibly related (embedding) · 49%CodeSoul-co/THETA →